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Field Collection and Laboratory Maintenance of Canopy-Forming Giant Kelp to Facilitate Restoration
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How to Learn Lessons from Field Experience in Forest Landscape Restoration: A Tentative Framework
Stephanie Mansourian1,2, Daniel Vallauri3
1Mansourian.org, Mont d'eau, 1276, Gingins, Switzerland. stephanie@mansourian.org.
Environmental Management
|May 3, 2020
Summary
Learning from field implementation is crucial for forest landscape restoration (FLR), a complex and evolving approach. This study proposes a framework to guide lesson learning for FLR practice and policy.
Area of Science:
- Restoration Ecology
- Conservation Biology
- Landscape Ecology
Background:
- Forest Landscape Restoration (FLR) is a complex, multidisciplinary approach with limited long-term field data.
- Global commitments, like the Bonn Challenge, aim to scale up FLR for social, biodiversity, and carbon benefits.
- The novelty and uncertainty surrounding FLR necessitate urgent lesson learning from past and ongoing initiatives.
Purpose of the Study:
- To propose a framework for systematic lesson learning in Forest Landscape Restoration (FLR).
- To ground FLR practice and policy in accumulated field experiences.
- To address the need for knowledge generation in a relatively new and complex field.
Main Methods:
- A conceptual framework for lesson learning in FLR is proposed.
- The framework synthesizes insights from related disciplines and early FLR experiences.
- Focus on practical application for policy and implementation.
Main Results:
- A foundational framework for lesson learning in FLR is presented.
- The framework aims to consolidate knowledge from diverse field implementations.
- Provides a structured approach to capture and utilize FLR experiences.
Conclusions:
- Systematic lesson learning is vital for the advancement of Forest Landscape Restoration (FLR).
- The proposed framework offers a structured method to enhance FLR effectiveness.
- Integrating field experiences into practice and policy is essential for successful FLR outcomes.
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